Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 47,321 to 47,330 of 224,199 articles

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

arXiv Feb 25, 2026
Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decision-support technologies. The advent of large language models (LLMs) provides new zero-shot and few-sh... read more 
Machine Learning cs.AI

BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning

arXiv Feb 25, 2026
Recent advancements in deep learning have actively addressed complex challenges within the Computer-Aided Design (CAD) domain.However, most existing approaches rely on task-specifi c models requiring structural modifi cations for new tasks, and they ... read more 
Machine Learning

Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning

arXiv Feb 25, 2026
Objective: The objective of this study is to develop a machine learning (ML)-based framework for early risk stratification of clinical trials (CTs) according to their likelihood of exhibiting a high rate of dosing errors, using information available ... read more 
Machine Learning cs.AI

OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data

arXiv Feb 25, 2026
Lossless compression is essential for efficient data storage and transmission. Although learning-based lossless compressors achieve strong results, most of them are designed for a single modality, leading to redundant compressor deployments in multi-... read more 
Machine Learning cs.IT

Reliable XAI Explanations in Sudden Cardiac Death Prediction for Chagas Cardiomyopathy

arXiv Feb 25, 2026
Sudden cardiac death (SCD) is unpredictable, and its prediction in Chagas cardiomyopathy (CC) remains a significant challenge, especially in patients not classified as high risk. While AI and machine learning models improve risk stratification, their... read more 
Machine Learning cs.LO

What Topological and Geometric Structure Do Biological Foundation Models Learn? Evidence from 141 Hypotheses

arXiv Feb 25, 2026
When biological foundation models such as scGPT and Geneformer process single-cell gene expression, what geometric and topological structure forms in their internal representations? Is that structure biologically meaningful or a training artifact, an... read more 
Quantitative Methods cs.LG q-bio.GN

A 1/R Law for Kurtosis Contrast in Balanced Mixtures

arXiv Feb 25, 2026
Kurtosis-based Independent Component Analysis (ICA) weakens in wide, balanced mixtures. We prove a sharp redundancy law: for a standardized projection with effective width $R_{\mathrm{eff}}$ (participation ratio), the population excess kurtosis obeys... read more 
Machine Learning cs.AI stat.ML

Enabling clinical use of foundation models in histopathology

arXiv Feb 25, 2026
Foundation models in histopathology are expected to facilitate the development of high-performing and generalisable deep learning systems. However, current models capture not only biologically relevant features, but also pre-analytic and scanner-spec... read more 
Computer Vision and Pattern Recognition cs.AI

Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree Search

arXiv Feb 25, 2026
This paper proposes a novel medical image segmentation framework, MNAS-Unet, which combines Monte Carlo Tree Search (MCTS) and Neural Architecture Search (NAS). MNAS-Unet dynamically explores promising network architectures through MCTS, significantl... read more 
Computer Vision and Pattern Recognition

Learning geometry-dependent lead-field operators for forward ECG modeling

arXiv Feb 25, 2026
Modern forward electrocardiogram (ECG) computational models rely on an accurate representation of the torso domain. The lead-field method enables fast ECG simulations while preserving full geometric fidelity. Achieving high anatomical accuracy in tor... read more 
Machine Learning cs.AI math.NA q-bio.TO
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